Search Results - predictive ((model techniques) OR (based techniques))

Blood glucose level prediction using intelligent based modeling techniques by Aibinu, Abiodun Musa, Salami, Momoh Jimoh Emiyoka, Shafie, Amir Akramin

“…In this paper, new methods of blood glucose (BG) level modeling and prediction using artificial intelligent (AI) based techniques have been suggested. …”
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A hybrid technique for dinar coin price prediction using artificial neural network based autogressive modeling technique by Aibinu, Abiodun Musa, Salami, Momoh Jimoh Emiyoka, Ameer Amsa, Mohamad Ghazali

“…Thus in this work, recently proposed artificial neural network based autoregressive (ANN-BASED AR) modeling technique has been applied in predicting accurately the daily price of Islamic Dinar coin. …”
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Improving total sediment load prediction using genetic programming technique (Case Study: Malaysia) by N. A., Ahmad Abdul Ghani, N. A., Kamal, J., Ariffin

“…Statistical analyses based on 82 data sets show the sediment transport model using this new technique perform well compare to other models.…”
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A meta-heuristics based input variable selection technique for hybrid electrical energy demand prediction models by ul Islam, B., Baharudin, Z.

“…These models are developed by integrating multilayer perceptron neural network and evolutionary optimization techniques. …”
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Predicting quality of object-oriented systems through a quality model based on design metrics and data mining techniques by Loh, C.H., Lee, S.P.

“…Accurate quality models can be built to predict the quality of object-oriented systems by using a subset of the existing object-oriented design metrics and data mining techniques. …”
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GUI Based ANFIS Modeling: Back Propagation Optimization Method for CO2 Laser Machining by Sivarao, Subramonian

“…The uniqueness of this modeling technique is that, all modeling, variable selection, model validation, prediction, etc. was done using a graphical user interface (GUI) developed on our own using Matlab. …”
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A new framework in improving prediction of class imbalance for student performance in Oman educational dataset using clustering based sampling techniques by Sultan Alalawi, Sultan Juma

“…The clustering-based sampling techniques improved the overall prediction performance for the minority class. …”
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Stream flow analysis and modelling using artificial intelligence techniques / Mohammed A. B. Seyam by Mohammed , A. B. Seyam

“…This prediction can be performed using either process-based or data driven-based models (DDMs). …”
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A data-driven prognostic model using time series prediction techniques in maintenance decision making by Siti Azirah, Amai

“…In conclusion, this research contributes to the development of data-driven prognostics model based on condition monitoring information using time series prediction techniques to support maintenance decision.…”
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Machine learning techniques for software bug prediction: a systematic review by Saharudin, Syahana Nur’Ain, Koh, Tieng Wei, Kew, Si Na

“…There are many techniques and approaches that can be used to build the prediction models, such as machine learning. …”
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Overview: Model predictive control techniques for controlling induction motor based on vector control by Talib, Md Hairul Nizam, Moataz M.A., Alakkad Moataz, Rasin, Zulhani, Mat Lazi, Jurifa, Md. Jamal, Muhammad Haziq, Mat Isa, Zainuddin

“…The MPC are subdivision based on control parameters into two modes, model predictive current control (MPCC) and model predictive torque control (MPTC). …”
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Data mining techniques for disease risk prediction model: A systematic literature review by Ahmad W.M.T.W., Ghani N.L.A., Drus S.M.

“…Decision making; Decision trees; Forecasting; Health care; Soft computing; Accuracy evaluation; Classification technique; Data mining algorithm; Descriptive analysis; Disease risks; Infectious disease; Risk prediction models; Systematic literature review; Data mining…”

Predicting GDP growth in Malaysia using knowledge-based economy indicators : a comparison between neural network and econometric approaches by Mohd Zukime Hj Mat Junoh

“…In contrast, traditional econometric approaches have continued to be used for prediction models in almost all the above areas. This paper proposes the extension of neural network techniques to include prediction models because of two obvious advantages. …”
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The prediction of students' academic performance using classification data mining techniques by Fadhilah, Ahmad, Azwa, Abdul Aziz, Nur Hafieza, Ismail

“…Decision Tree, Naïve Bayes, and Rule Based classification techniques are applied to the students’ data in order to produce the best students’ academic performance prediction model. …”
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Opposition-Based Learning Binary Bat Algorithm as Feature Selection Approach in Taguchi's T-Method by Marlan Z.M., Jamaludin K.R., Harudin N.

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An improved recommender system based on normalization of matrix factorization and collaborative filtering algorithms by Zahid, Aafaq

“…There are different techniques used in RS. Some works are based on user past knowledge known as Content Based (CB) while more popular techniques referred to as neighborhood models (CF and MF) are based on finding similar users for recommendation. …”
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Sediment load prediction for rivers in Malaysia using evolutionary polynomial regression technique by Nadiatul Adilah, Ahmad Abdul Ghani, Junaidah, A.

“…A new set of data that contains 82 data is used for validation and the results also give a good prediction of sediment loadings. The new model predictions are also compared with the present sediment model using other techniques, such as the regression technique by Ariffin in 2004, a modified Graf by Chan in 2005 and a multiple regression technique by Sinnakaudan in 2006. …”
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Model predictive control based on Lyapunov function and near state vector selection of four-leg inverter / Abdul Mannan Dadu by Abdul Mannan, Dadu

“…The model predictive control technique utilizes all the available voltage vectors of power inverter to improve the predictive current control performance. …”
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Consumer load prediction and theft detection on distribution network using autoregressive model by Abdullateef, Adoyele Isqeel, Salami, Momoh Jimoh Eyiomika, Ahmed, Musse Mohamud, Onasanya, Mobolaji Agbolade

“…Average energy consumption obtained over 24 hours was used for the modelling and 5-minute step ahead load prediction based on model order 20 of minimum description length criterion technique was achieved. …”
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Application of Multiple Regression Technique for Predicting Drilling Rate in Loss Zone by Sauki, A., Khamaruddin, P.N.F.M., Irawan, S., Kinif, I., Ridha, S.

“…Previous researchers have proposed numerous techniques to improve the mathematical model's accuracy and the multiple regression techniques in predicting the drilling rate. …”
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